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Buckling and frequency responses of a graphene nanoplatelet reinforced composite microdisk

Moayedi, H ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1142/S1758825119501023
  3. Publisher: World Scientific Publishing Co. Pte Ltd , 2019
  4. Abstract:
  5. This is the first research on the vibration and buckling analysis of a graphene nanoplatelet composite (GPLRC) microdisk in the framework of a numerical based generalized differential quadrature method (GDQM). The stresses and strains are obtained using the higher-order shear deformable theory (HOSDT). Rule of the mixture is employed to obtain varying mass density, thermal expansion, and Poisson's ratio, while the module of elasticity is computed by modified Halpin-Tsai model. Governing equations and boundary conditions of the GPLRC microdisk are obtained by implementing Extended Hamilton's principle. The results show that outer to inner ratios of the radius (Ro/Ri), ratios of length scale and nonlocal to thickness (l/h and μ/h), and GPL weight fraction (gGPL) have a significant influence on the frequency and buckling characteristics of the GPLRC microdisk. Another necessary consequence is that by increasing the value of the Ro/Ri, the distribution of the displacement field extends from radial to tangent direction, especially in the lower mode numbers, this phenomenon appears much more remarkable. A useful suggestion of this research is that, for designing the GPLRC microdisk at the low value of the Ro/Ri, more attention should be paid to the gGPL and Ro/Ri, simultaneously. © 2019 World Scientific Publishing Europe Ltd
  6. Keywords:
  7. Buckling ; Frequency characteristics ; GDQM ; GPLRC ; Microdisk ; Elasticity ; Frequency response ; Graphene ; Numerical methods ; Scales (weighing instruments) ; Structural design ; Thermal expansion ; Vibration analysis ; Frequency characteristic ; Microdisks ; NSGT ; Graphene Nanoplatelets
  8. Source: International Journal of Applied Mechanics ; Volume 11, Issue 10 , 2019 ; 17588251 (ISSN)
  9. URL: https://www.worldscientific.com/doi/10.1142/S1758825119501023